PhD Programme in Data Science in Hamburg – The Helmholtz Graduate School for the Structure of Matter (DASHH) University of Hamburg in Germany

The Data Science in Hamburg – The Helmholtz Graduate School for the Structure of Matter (DASHH) offers an interdisciplinary, structured three-year PhD programme based in Hamburg, Germany. The programme is designed for students interested in advancing data science and research in the structure of matter, with a strong emphasis on computational and information science techniques. DASHH brings together leading research institutions, including the University of Hamburg, Hamburg University of Technology, Helmut Schmidt University, Helmholtz Centre for Infection Research, Helmholtz Centre hereon GmbH, Max Planck Institute for the Structure and Dynamics of Matter, European XFEL, and Hamburg University of Applied Sciences.

PhD research projects at DASHH address data challenges in structural biology, particle physics, photon science, materials science, and ultrafast X-ray science. These challenges require modern approaches in data management, machine learning, data analytics, signal and image processing, algorithm design, optimisation, simulation, software engineering, and automation/control systems. The programme is part of the Helmholtz Information & Data Science Schools, promoting young data scientists across all research areas.

The curriculum comprises 18 ECTS credits, divided into knowledge gain, transferable skills, and current research. Students benefit from regular talks, seminars, and tailored courses at partner institutions, including the PIER Helmholtz Graduate School, MINGZ platform of UHH, Graduate Academy for Technology and Innovation of TUHH, Hamburg Research Academy, and Helmholtz Information and Data Science Academy. International elements include guest lecturers, language training, and opportunities for exchange programmes within Helmholtz centres or abroad. About half of the doctoral researchers are international, fostering a diverse and intercultural environment.

PhD students are supervised by a panel consisting of a panel chair, a professor from the natural sciences, and a professor from information/computer/mathematical science. The programme offers excellent working conditions at a vibrant research campus, close supervision, transferable skills training, and career development support. Students receive a three-year work contract at the TV-L13 level of the German salary scheme. No tuition fees are charged, but a semester contribution (300–500 EUR) may be required, which includes a public transportation ticket.

Applicants must have a Master's degree (or expect to graduate within the same year) in computer science, applied mathematics, or natural sciences, preferably with interdisciplinary training. Degrees from foreign universities and non-research oriented programmes may be recognised. Fluency in English is required, with proof if the previous degree was not taught in English. Applications are accepted annually in September, with interim applications possible. For more information and to apply, visit the DASHH application portal.

DASHH provides a friendly, international work environment, access to world-leading research facilities (PETRA III, FLASH, European XFEL, LHC), and attractive interdisciplinary thesis topics. Support for international students includes welcome events, buddy programmes, and assistance with accommodation. Career advisory services are available through partner institutions.